A fuzzy expert system for site characterization

Abstract Remediation selection expert system (RSES) is a rule-based expert system which is used for the selection of remediation techniques for petroleum contaminated sites. In this paper, we describe a fuzzy logic-based subsystem: site characterization subsystem (SCSS). It is an enhancement of the RSES, which is used to analyse the hydraulic properties of contaminated sites. This paper focuses on an explanation on how to apply fuzzy set theory for identification of soil types and hydraulic properties of a contaminated site. To illustrate application of fuzzy set theory to the problem, two sample cases are presented in detail.

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